Triple
T18120790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | table shelter |
E433724
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Blitz |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Blitz | Statement: [table shelter, associatedWith, Blitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blitz Context triple: [table shelter, associatedWith, Blitz]
-
A.
Blitz
Blitz is the costumed team mascot for the Washington Valor arena football franchise, entertaining fans at games and team events.
-
B.
Blitz
Blitz is a film produced by Steven Chasman, best known as a British crime thriller starring Jason Statham as a tough cop hunting a serial killer targeting police officers.
-
C.
Blitz
chosen
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
D.
Blitz
Blitz is the Seattle Seahawks’ official blue and green anthropomorphic bird mascot who entertains fans at games and team events.
-
E.
Blitz
Blitz is a British television drama series set during the London Blitz of World War II, known for featuring actress Lydia Wilson in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddea61bc8190af4b3efa2596b632 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.